Abstract: A method for information processing includes a learning process to generate a tree structured dictionary based on a plurality of patterns including a target object to be recognized. The method includes selecting a plurality of points from an input pattern based on a distribution of a probability that the target object to be recognized is present in the input pattern at each node of a tree structure generated in the learning process, and classifying the input pattern into a branch based on a value of a predetermined function that corresponds to values of the input pattern at selected plurality of points.

Abstract: An image processor is provided, the image processor including a general-purpose classifier that detects a predetermined large classification target; and a dedicated classifier that detects a small classification target which is a subdivision of the large classification target; an image acquisition part that acquires an image photographed by a camera; an image extracting part that extracts a registered image including a user-assigned domain from the photographed image; a dedicated classifier performing part that causes the dedicated classifier to perform detection processing to the registered image extracted; a dedicated classifier selector that selects the dedicated classifier having a highest index indicating superiority or inferiority of a detection result; and a classifier generator that generates a registered image classifier to detect a target included in the registered image by replacing some weak classifiers included in the selected dedicated classifier with weak classifiers included in the general-pur

Abstract: The recognition rate is improved and recognition errors are suppressed when recognizing magnetic ink characters. A character recognition unit calculates a total difference by calculating the total of the differences between the character waveform data and the reference waveform data for each magnetic ink character within the area of one character; calculates a partial difference by summing the differences between character waveform data and reference waveform data in a target area, which is the area corresponding to a stroke that is 2 mesh or more wide in the area of one character; executing a correction process that reduces the value of the partial difference; and recognizing the candidate character as the magnetic ink character that was read when the total difference after the correction process is less than or equal to a threshold value.

Abstract: A table record estimation device includes: a table element string extraction unit having a function of extracting text data from input data and acquiring a series of keywords as an element of a table (table data) from the extracted text data; a table element labeling unit having a function of labeling the individual keywords acquired by the table element string extraction unit for each type based on correspondence information stored in a classification rule storage unit; and a label appearance pattern estimation unit having a function of estimating a label permutation constituting one-unit record from a label string attached for the each type by the table element labeling unit and outputting the label permutation as a record estimation result.

Abstract: A system and method that determines a contour of a model vessel representing a branching structure, wherein the structure contains a branch point at which an upper segment of the structure splits into a first lower segment and a second lower segment, and determines a path of a first model vessel representative of at least part of the upper segment and at least part of the first lower segment, determines a path of a second model vessel, representative of at least part of the upper segment and at least part of the second lower segment, determines the position of a contour branch point; and ensures that for at least one position above the contour branch point a contour of the first model vessel is substantially the same as a contour of the second model vessel.

Abstract: In a method for the calculation of individual elements of a matrix to correct artifacts in magnetic resonance images that are reconstructed from measurement data acquired using an MR pulse sequence, in which gradients are switched simultaneously during the radiation of at least one non-selective excitation pulse, at least one excitation profile of an excitation pulse used to acquire measurement data is loaded into a process, the profile depending on the measured location x and the measured k-space point k and the gradient strength applied in the measurement. From each loaded excitation profile, an element of a transposed, inverted disturbance matrix is calculated which corresponds to the location x and the measured k-space point k. Instead of a Fourier back-transformation, matrix inversion is used for the image reconstruction of a corrected image.

Abstract: An image processing method includes: obtaining an input image; enhancing an object in the input image; and after the input image is enhanced, applying a low-pass filter using a processor to obtain a processed image. A computer product includes a non-transitory medium storing a set of instructions, an execution of which causes a method to be performed, the method comprising: obtaining an input image; enhancing an object in the input image; and after the input image is enhanced, applying a low-pass filter to obtain a processed image.

Abstract: A method for reconstructing a time series of images from data acquired with a medical imaging system is provided. Data is acquired with the medical imaging system, and a set of image blocks that defines the location and size of each of a plurality of image blocks in the image domain is then selected. The acquired data and selected image block set are then used to jointly estimate a plurality of images that form a time series of images while promoting locally-low rank structure in the images.

Abstract: There is disclosed an image diagnosis support system which acquires a medical image from a medical image imaging unit, generates object information on the medical image, stores the medical image and the object information in a data storage unit and a database, stores case information for each patient based on the object information in correspondence with a case name and information of the medical image in an information table, collects the case information for each patient read from the information table in correspondence with the case name in accordance with a conference instruction and the medical image read from the data storage unit and the database in accordance with the information of the medical image, respectively, as conference information by a conference information display•feedback section to display the same, and feeds back a conference result based on display contents to the information table.

Abstract: A method includes obtaining image data generated by an imaging system (100), generating data indicative of a degree to which each of a plurality of voxels of the image data corresponds to one or more predetermined geometrical features, wherein each geometrical feature is assigned a different color, generating a signal indicative of a single color value for each of the plurality of voxels based on the degree and the colors, generating a volumetric rending of the image data based on the signal, generating a link between voxels of the volumetric rendering and voxels of the image data, and visually presenting the image data and the volumetric rendering concurrently. The geometrical features represent local shape features which are determined by ray casting with the rays being used for the computation of a quadric represented by a matrix and with the eigenvalues of said matrix determine the degree to which voxels correspond to some local geometric shape features (i.e. blobness, tubularness).

Abstract: An image processing device includes; a first detecting unit that inputs a first image and a second image and detects a first positional aberration between the first image and the second image; a correcting unit that corrects the first positional aberration detected by the first detecting unit in the first image; a second detecting unit that detects a direction of the second positional aberration between the corrected first image and the second image; and a determining unit that determines an image orientation at the display of the first image and the second image based on the detected direction of the second positional aberration relating the trial image corresponding to the sparsest blur kernel to the target image.

Abstract: A method for modeling blood flow through a flow diverter includes receiving a medical image containing blood vessels. Vessel geometry is extracted from the received medical image. Inlets and outlets are tagged within the extracted vessel geometry. A desired flow diverter is selected. A model of the selected flow diverter is generated within the imaged blood vessel, the model representing the flow diverter as a tube having a porous surface characterized by a viscous resistance and an inertial resistance. A course of blood flow though the flow diverter is predicted based on the generated model, the extracted vessel geometry, and the tagged inlets and outlets.

Abstract: Systems and methods are provided for detecting anatomical components in images. In accordance with one implementation, at least one anchor landmark is detected in an image. The position of the anchor landmark is used to detect at least one bundle landmark in the image. In accordance with another implementation, at least two neighboring landmarks are detected in an image, and used to detect at least one anatomical primitive in the image.

Abstract: A method of reconstructing tomograms from a polychromatic X-ray transmission image and an image processing apparatus using the same. An image of a target is reconstructed in consideration of a fact that an X-ray has a polychromatic X-ray spectrum and the target is dependent upon energy of the X-ray transmitted through the target, and thus an image without any beam hardening artifacts may be generated. In addition, measurement data for X-rays with respect to all wavelengths is used to reconstruct an image, thereby reconstructing an accurate image.

Abstract: A method and apparatus for determining a position and attitude of at least one camera by calculating and extracting estimated rotation and translation values from an estimated fundamental matrix based on information from at least a first and second 2D image. Variable substitution is utilized to strengthen derivatives and provide a more rapid convergence. A solution is provided for solving position and orientation from correlated point features in images using a method that solves for both rotation and translation simultaneously.

Abstract: The importance detection unit 52 detects importance of each pixel composing the original image thus acquired. In addition, the importance map generation unit 52 generates an importance map indicating distribution of the importance detected for each pixel. The characteristic region detection unit 61 detects a characteristic region of the original image, from the original image thus acquired. The determination unit 62 determines a brushstroke pattern that should be applied to the characteristic region thus detected, from at least two types of brushstroke patterns stored in a storage unit. The brushstroke pattern conversion unit 63 converts an image in the characteristic region into an image, to which the brushstroke pattern is applied, based on the brushstroke pattern thus determined. The adjustment unit 64 adjusts color of the image of the brushstroke pattern being the image in the characteristic region, based on the importance map thus generated.

Abstract: A portable backscatter advanced imaging technology scanner with automated threat or target recognition including: a floor assembly having a cantilever drive assembly for rotating the floor assembly, the floor assembly being able to be partitioned into multiple parts for reassembly; at least one x-ray tube oriented towards selected sides of a test subject; a detector assembly oriented on the circumference of the floor assembly, the detector assembly being able to partitioned into multiple parts for reassembly; a storage unit to store images from detected scattered photons on the detector assembly; and a processing unit to detect, identify and classify concealed objects on the test subject.

Abstract: Methods, and systems therefrom, for generating images from time of flight (TOF) data associated with a scan of at least one object using a positron emission tomography system are provided. The method includes providing initial values for an activity image to yield a current activity image. The method also includes estimating initial values for an attenuation map (?-map) image based on the TOF data to yield a current ?-map image. The method further includes repeating, until at least one termination condition is met, the steps of updating the current activity image based on at least the current ?-map and a first update algorithm and updating the current ?-map image based on at least on the updated activity image and a second update algorithm. The method also includes outputting an image of the at least one object based on the current ?-map and the current activity image.

Abstract: A system for detecting post-operative retained foreign bodies has a data storage unit adapted to receive and store a reference image of a surgical object, and a data processor in communication with the data storage unit. The data processor is configured to receive an image of an internal region of a patient and to receive the reference image from the data storage unit, and the data processor is configured to perform operations based on an algorithm to compare the reference image to at least a portion of the image of the internal region of the patient and determine whether a retained foreign body is present in the patient.

Abstract: Systems and methods for associating geographic coordinates with one or more points in a digital geographic image, such as a satellite image, aerial image, ground based image, street level image or other suitable geographic image are provided. More particularly, a digital geographic image can be analyzed to identify one or more features that may be suitable as measurement points for collecting measured ground truth data. The one or more features can be described as a mathematical model that defines image coordinates along the feature depicted in the digital geographic image with sub-pixel accuracy. Image coordinates can be assigned to the measurement points with sub-pixel accuracy using the mathematical model. Collected ground truth data can then be associated with the identified image coordinates to allow for the more precise association of geographic coordinate information to points in the digital geographic imagery.